Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.llama_model_overfitted_reg_gpt_pipeline is a English model originally trained by soksay.
How to use
pipeline = PretrainedPipeline("llama_model_overfitted_reg_gpt_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("llama_model_overfitted_reg_gpt_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | llama_model_overfitted_reg_gpt_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 407.2 MB |
References
https://huggingface.co/soksay/llama_model_overfitted_REG_GPT
Included Models
- DocumentAssembler
- MPNetEmbeddings